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Description

Quickplay’s over-the-top (OTT) solution leverages advanced cloud-native technologies such as containers, microservices, a service mesh, APIs, and immutable infrastructure. This technological framework ensures enhanced performance, supports a modular approach for feature enhancements, allows for continuous delivery to facilitate swift iterations, and incorporates essential attributes like scalability, observability, and security. Our comprehensive streaming platform utilizes a forward-thinking technology stack that is crafted to provide personalized viewer experiences and foster engagement through actionable data insights. The Video Content Management System (CMS) we offer is designed to ensure digital distribution remains resilient and responsive, effectively addressing the challenges of high concurrency and low latency while also optimizing cloud infrastructure expenditures. Our video pipeline is tailored for delivering superior quality and low-latency streaming at a significant scale. With extensive experience in managing thousands of linear and virtual channels, live events, and video-on-demand services, we are equipped to create customized workflows that cater specifically to the unique needs of our customers. Additionally, our commitment to innovation ensures that we remain at the forefront of the evolving OTT landscape.

Description

Microservices architecture enables efficient streaming and batch data processing specifically designed for platforms like Cloud Foundry and Kubernetes. By utilizing Spring Cloud Data Flow, users can effectively design intricate topologies for their data pipelines, which feature Spring Boot applications developed with the Spring Cloud Stream or Spring Cloud Task frameworks. This powerful tool caters to a variety of data processing needs, encompassing areas such as ETL, data import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server leverages Spring Cloud Deployer to facilitate the deployment of these data pipelines, which consist of Spring Cloud Stream or Spring Cloud Task applications, onto contemporary infrastructures like Cloud Foundry and Kubernetes. Additionally, a curated selection of pre-built starter applications for streaming and batch tasks supports diverse data integration and processing scenarios, aiding users in their learning and experimentation endeavors. Furthermore, developers have the flexibility to create custom stream and task applications tailored to specific middleware or data services, all while adhering to the user-friendly Spring Boot programming model. This adaptability makes Spring Cloud Data Flow a valuable asset for organizations looking to optimize their data workflows.